Antenna Season Report Notebook¶

Josh Dillon, Last Revised January 2022

This notebook examines an individual antenna's performance over a whole season. This notebook parses information from each nightly rtp_summarynotebook (as saved to .csvs) and builds a table describing antenna performance. It also reproduces per-antenna plots from each auto_metrics notebook pertinent to the specific antenna.

In [1]:
import os
from IPython.display import display, HTML
display(HTML("<style>.container { width:100% !important; }</style>"))
In [2]:
# If you want to run this notebook locally, copy the output of the next cell into the next line of this cell.
# antenna = "004"
# csv_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/_rtp_summary_'
# auto_metrics_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/auto_metrics_inspect'
# os.environ["ANTENNA"] = antenna
# os.environ["CSV_FOLDER"] = csv_folder
# os.environ["AUTO_METRICS_FOLDER"] = auto_metrics_folder
In [3]:
# Use environment variables to figure out path to the csvs and auto_metrics
antenna = str(int(os.environ["ANTENNA"]))
csv_folder = os.environ["CSV_FOLDER"]
auto_metrics_folder = os.environ["AUTO_METRICS_FOLDER"]
print(f'antenna = "{antenna}"')
print(f'csv_folder = "{csv_folder}"')
print(f'auto_metrics_folder = "{auto_metrics_folder}"')

antenna = "65"
csv_folder = "/home/obs/src/H6C_Notebooks/_rtp_summary_"
auto_metrics_folder = "/home/obs/src/H6C_Notebooks/auto_metrics_inspect"
In [4]:
display(HTML(f'<h1 style=font-size:50px><u>Antenna {antenna} Report</u><p></p></h1>'))

Antenna 65 Report

In [5]:
import numpy as np
import pandas as pd
pd.set_option('display.max_rows', 1000)
import glob
import re
from hera_notebook_templates.utils import status_colors, Antenna
In [6]:
# load csvs and auto_metrics htmls in reverse chronological order
csvs = sorted(glob.glob(os.path.join(csv_folder, 'rtp_summary_table*.csv')))[::-1]
print(f'Found {len(csvs)} csvs in {csv_folder}')
auto_metric_htmls = sorted(glob.glob(auto_metrics_folder + '/auto_metrics_inspect_*.html'))[::-1]
print(f'Found {len(auto_metric_htmls)} auto_metrics notebooks in {auto_metrics_folder}')

Found 49 csvs in /home/obs/src/H6C_Notebooks/_rtp_summary_
Found 47 auto_metrics notebooks in /home/obs/src/H6C_Notebooks/auto_metrics_inspect
In [7]:
# Per-season options
mean_round_modz_cut = 4
dead_cut = 0.4
crossed_cut = 0.0

def jd_to_summary_url(jd):
    return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/_rtp_summary_/rtp_summary_{jd}.html'

def jd_to_auto_metrics_url(jd):
    return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/auto_metrics_inspect/auto_metrics_inspect_{jd}.html'

Load relevant info from summary CSVs¶

In [8]:
this_antenna = None
jds = []

# parse information about antennas and nodes
for csv in csvs:
    df = pd.read_csv(csv)
    for n in range(len(df)):
        # Add this day to the antenna
        row = df.loc[n]
        if isinstance(row['Ant'], str) and '<a href' in row['Ant']:
            antnum = int(row['Ant'].split('</a>')[0].split('>')[-1]) # it's a link, extract antnum
        else:
            antnum = int(row['Ant'])
        if antnum != int(antenna):
            continue
        
        if np.issubdtype(type(row['Node']), np.integer):
            row['Node'] = str(row['Node'])
        if type(row['Node']) == str and row['Node'].isnumeric():
            row['Node'] = 'N' + ('0' if len(row['Node']) == 1 else '') + row['Node']
            
        if this_antenna is None:
            this_antenna = Antenna(row['Ant'], row['Node'])
        jd = [int(s) for s in re.split('_|\.', csv) if s.isdigit()][-1]
        jds.append(jd)
        this_antenna.add_day(jd, row)
        break
In [9]:
# build dataframe
to_show = {'JDs': [f'<a href="{jd_to_summary_url(jd)}" target="_blank">{jd}</a>' for jd in jds]}
to_show['A Priori Status'] = [this_antenna.statuses[jd] for jd in jds]

df = pd.DataFrame(to_show)

# create bar chart columns for flagging percentages:
bar_cols = {}
bar_cols['Auto Metrics Flags'] = [this_antenna.auto_flags[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jee)'] = [this_antenna.dead_flags_Jee[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jnn)'] = [this_antenna.dead_flags_Jnn[jd] for jd in jds]
bar_cols['Crossed Fraction in Ant Metrics'] = [this_antenna.crossed_flags[jd] for jd in jds]
bar_cols['Flag Fraction Before Redcal'] = [this_antenna.flags_before_redcal[jd] for jd in jds]
bar_cols['Flagged By Redcal chi^2 Fraction'] = [this_antenna.redcal_flags[jd] for jd in jds]
for col in bar_cols:
    df[col] = bar_cols[col]

z_score_cols = {}
z_score_cols['ee Shape Modified Z-Score'] = [this_antenna.ee_shape_zs[jd] for jd in jds]
z_score_cols['nn Shape Modified Z-Score'] = [this_antenna.nn_shape_zs[jd] for jd in jds]
z_score_cols['ee Power Modified Z-Score'] = [this_antenna.ee_power_zs[jd] for jd in jds]
z_score_cols['nn Power Modified Z-Score'] = [this_antenna.nn_power_zs[jd] for jd in jds]
z_score_cols['ee Temporal Variability Modified Z-Score'] = [this_antenna.ee_temp_var_zs[jd] for jd in jds]
z_score_cols['nn Temporal Variability Modified Z-Score'] = [this_antenna.nn_temp_var_zs[jd] for jd in jds]
z_score_cols['ee Temporal Discontinuties Modified Z-Score'] = [this_antenna.ee_temp_discon_zs[jd] for jd in jds]
z_score_cols['nn Temporal Discontinuties Modified Z-Score'] = [this_antenna.nn_temp_discon_zs[jd] for jd in jds]
for col in z_score_cols:
    df[col] = z_score_cols[col]

ant_metrics_cols = {}
ant_metrics_cols['Average Dead Ant Metric (Jee)'] = [this_antenna.Jee_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Dead Ant Metric (Jnn)'] = [this_antenna.Jnn_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Crossed Ant Metric'] = [this_antenna.crossed_metrics[jd] for jd in jds]
for col in ant_metrics_cols:
    df[col] = ant_metrics_cols[col]

redcal_cols = {}
redcal_cols['Median chi^2 Per Antenna (Jee)'] = [this_antenna.Jee_chisqs[jd] for jd in jds]
redcal_cols['Median chi^2 Per Antenna (Jnn)'] = [this_antenna.Jnn_chisqs[jd] for jd in jds]   
for col in redcal_cols:
    df[col] = redcal_cols[col]

# style dataframe
table = df.style.hide_index()\
          .applymap(lambda val: f'background-color: {status_colors[val]}' if val in status_colors else '', subset=['A Priori Status']) \
          .background_gradient(cmap='viridis', vmax=mean_round_modz_cut * 3, vmin=0, axis=None, subset=list(z_score_cols.keys())) \
          .background_gradient(cmap='bwr_r', vmin=dead_cut-.25, vmax=dead_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
          .background_gradient(cmap='bwr_r', vmin=crossed_cut-.25, vmax=crossed_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
          .background_gradient(cmap='plasma', vmax=4, vmin=1, axis=None, subset=list(redcal_cols.keys())) \
          .applymap(lambda val: 'font-weight: bold' if val < dead_cut else '', subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
          .applymap(lambda val: 'font-weight: bold' if val < crossed_cut else '', subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
          .applymap(lambda val: 'font-weight: bold' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
          .applymap(lambda val: 'color: red' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
          .bar(subset=list(bar_cols.keys()), vmin=0, vmax=1) \
          .format({col: '{:,.4f}'.format for col in z_score_cols}) \
          .format({col: '{:,.4f}'.format for col in ant_metrics_cols}) \
          .format('{:,.2%}', na_rep='-', subset=list(bar_cols.keys())) \
          .set_table_styles([dict(selector="th",props=[('max-width', f'70pt')])])

Table 1: Per-Night RTP Summary Info For This Atenna¶

This table reproduces each night's row for this antenna from the RTP Summary notebooks. For more info on the columns, see those notebooks, linked in the JD column.

In [10]:
display(HTML(f'<h2>Antenna {antenna}, Node {this_antenna.node}:</h2>'))
HTML(table.render(render_links=True, escape=False))

Antenna 65, Node N03:

Out[10]:
JDs A Priori Status Auto Metrics Flags Dead Fraction in Ant Metrics (Jee) Dead Fraction in Ant Metrics (Jnn) Crossed Fraction in Ant Metrics Flag Fraction Before Redcal Flagged By Redcal chi^2 Fraction ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score Average Dead Ant Metric (Jee) Average Dead Ant Metric (Jnn) Average Crossed Ant Metric Median chi^2 Per Antenna (Jee) Median chi^2 Per Antenna (Jnn)
2459864 digital_ok 0.00% 0.00% 0.00% 0.00% - - 0.127127 0.111385 0.604070 -0.945521 1.323114 0.878160 -0.612278 -0.122030 0.7039 0.6844 0.4223 nan nan
2459863 digital_ok 0.00% 0.00% 0.00% 0.00% - - 0.465482 0.859948 -1.067477 -0.332527 2.157762 0.963461 -0.142118 -0.208496 0.6977 0.6736 0.4109 nan nan
2459862 digital_ok 0.00% 0.00% 0.00% 0.00% - - 0.425008 0.555360 1.211662 -0.651272 2.297593 2.734061 -0.243196 -0.681106 0.6831 0.7035 0.4286 nan nan
2459861 digital_ok 0.00% 0.00% 0.00% 0.00% - - 0.471699 0.188859 -0.869086 -0.106059 1.747251 0.833464 0.677050 -0.152488 0.7063 0.6776 0.4346 nan nan
2459860 digital_ok 0.00% 0.00% 0.00% 0.00% - - 0.390425 0.270292 0.500957 -0.378229 2.331120 1.888801 -0.345092 -0.162713 0.7138 0.6818 0.4237 nan nan
2459859 digital_ok 0.00% 0.00% 0.00% 0.00% - - 0.402059 0.071989 -0.784347 -0.201575 1.496445 0.567763 -0.003042 0.195539 0.7214 0.6887 0.4137 nan nan
2459858 digital_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 6.950634 5.785288 -0.688175 -0.106757 2.345662 1.669624 4.156878 0.165506 0.6765 0.6454 0.4056 3.090538 2.674973
2459857 digital_ok 100.00% 100.00% 100.00% 0.00% - - 15.480300 11.468764 3.332823 2.480472 5.463598 5.281327 6.258351 9.258039 0.0246 0.0230 0.0010 nan nan
2459856 digital_ok 0.00% 0.00% 0.00% 0.00% 3.43% 0.00% 0.735662 0.519174 0.244515 -0.072132 2.273272 1.023456 -0.610265 0.758315 0.7219 0.7094 0.4127 1.558700 1.459254
2459855 digital_ok 0.00% 0.00% 0.00% 0.00% 4.58% 0.00% 0.702623 0.522479 0.391122 -0.292966 2.385389 0.658346 -0.086479 0.148617 0.7045 0.7287 0.4439 1.568104 1.415315
2459854 digital_ok 0.00% 0.00% 0.00% 0.00% 8.93% 0.00% 0.373717 -0.177030 0.589289 -0.653318 1.966202 0.407740 -0.319995 -0.017210 0.7153 0.7438 0.4520 1.525630 1.387867
2459853 digital_ok 0.00% 0.00% 0.00% 0.00% 0.00% 0.56% 0.672932 -0.055290 0.637187 -0.861816 1.462488 0.868705 0.939821 0.266464 0.7420 0.6987 0.4322 1.720238 1.525303
2459852 digital_ok 0.00% 0.00% 0.00% 0.00% 8.65% 2.16% 2.804368 0.099511 -0.041217 -0.815922 2.232816 0.452264 0.572080 0.231909 0.8231 0.8337 0.2530 2.994308 3.169087
2459851 digital_ok 0.00% 0.00% 0.00% 0.00% 11.76% 0.53% 1.110128 0.977636 0.459352 -0.735025 1.569866 1.829715 -0.568159 -0.409922 0.7557 0.7467 0.3570 1.462907 1.452551
2459850 digital_ok 0.00% 0.00% 0.00% 0.00% 18.02% 0.00% 0.535993 0.141372 0.625979 -0.715267 2.882253 1.060632 -0.641435 0.292744 0.7407 0.7612 0.3713 1.530816 1.388508
2459849 digital_ok 0.00% 0.00% 0.00% 0.00% 16.67% 0.00% 1.107768 0.431630 2.528287 -0.709898 3.438399 0.842090 -0.585734 0.418329 0.7374 0.7518 0.3769 1.524704 1.393801
2459848 digital_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 1.405419 1.099091 -0.429053 0.851609 4.916090 1.442057 -0.093509 0.517547 0.7176 0.7517 0.4004 3.273630 3.147474
2459847 digital_ok 0.00% 0.00% 0.00% 0.00% 3.21% 0.53% 1.419579 1.134864 -0.768063 1.039339 -0.398543 0.951053 -0.265275 -0.653996 0.7295 0.6909 0.4383 1.553196 1.375275
2459846 digital_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 0.421979 0.284789 -0.843718 0.467823 5.290601 2.424975 0.238694 0.196202 0.8350 0.6810 0.4955 3.646640 3.469256
2459845 digital_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 2.350711 1.769240 0.918019 0.794503 3.708045 0.464286 0.568509 0.040045 0.7265 0.7464 0.3898 -0.000000 -0.000000
2459844 digital_ok 100.00% 100.00% 100.00% 0.00% - - 31.193234 21.359866 23.746052 19.770097 4.419338 9.105425 9.911426 13.528697 0.0237 0.0221 0.0011 nan nan
2459843 digital_ok 0.00% 0.66% 0.66% 0.00% 16.30% 0.54% 1.798346 1.299077 1.941395 0.334179 1.180271 1.322938 -0.717562 0.059013 0.7401 0.7506 0.3929 1.736824 1.668273
2459840 digital_ok 100.00% 100.00% 100.00% 0.00% - - 63.364609 43.732215 15.097443 12.420945 5.591395 10.238367 14.987285 19.358546 0.0212 0.0200 0.0011 nan nan
2459839 digital_ok 100.00% - - - - - 16.185127 10.933218 36.022929 30.166516 2.198461 3.098146 20.304239 25.141572 nan nan nan nan nan
2459838 digital_ok 100.00% 100.00% 100.00% 0.00% 100.00% 0.00% nan nan inf inf nan nan nan nan nan nan nan 0.000000 0.000000
2459836 digital_ok - 100.00% 100.00% 0.00% - - nan nan nan nan nan nan nan nan 0.0315 0.0325 0.0012 nan nan
2459835 digital_ok 0.00% 100.00% 100.00% 0.00% - - 0.770940 -0.501308 0.452759 1.048607 1.128945 1.186641 0.350287 1.760346 0.0312 0.0326 0.0011 nan nan
2459833 digital_ok 100.00% 100.00% 100.00% 0.00% - - 7.268483 4.951129 8.100656 6.032004 0.598366 3.499289 9.049926 9.902152 0.0240 0.0247 0.0014 nan nan
2459832 digital_ok 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% 2.451882 0.440759 1.640359 0.481415 1.902845 0.431243 0.434365 -0.246724 0.8127 0.5393 0.5788 1.755691 1.673605
2459831 digital_ok 100.00% 100.00% 100.00% 0.00% - - 16.770867 11.179507 38.995028 32.968505 3.291103 3.586342 14.680715 18.217097 0.0217 0.0204 0.0011 nan nan
2459830 digital_ok 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% 2.823811 0.508971 2.813860 1.015217 -0.478316 -0.359441 -0.404734 0.978218 0.8130 0.5571 0.5552 1.788937 1.471153
2459829 digital_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 3.121926 1.678685 3.395589 0.889498 6.448648 1.880517 1.340321 3.022060 0.7614 0.6784 0.4059 16.884646 12.527787
2459828 digital_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 1.725999 0.800343 0.991574 1.254019 0.481143 0.188995 0.306652 5.271475 0.8107 0.5589 0.5435 3.928716 3.958239
2459827 digital_ok 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% 1.773040 0.998446 0.752244 0.933862 1.138058 0.341263 0.221993 0.391873 0.7625 0.6812 0.4098 1.744443 1.451002
2459826 digital_ok 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% 1.919196 0.731884 0.332046 1.030114 -0.200937 0.012712 -0.538800 1.203613 0.8051 0.5652 0.5294 1.540953 1.095291
2459825 digital_ok 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% 1.641329 0.517295 0.050980 0.899554 -1.104587 -0.798372 -0.587694 -0.645477 0.8060 0.5798 0.5216 2.435664 2.048121
2459824 digital_ok 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% 0.506881 0.520192 0.039779 0.432235 0.730148 1.877708 -0.493325 -0.013008 0.7284 0.7475 0.3632 1.978673 1.967137
2459823 digital_ok 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% 1.322386 0.468146 -0.014150 1.325904 0.006220 -0.818015 -0.110821 1.701625 0.7707 0.6586 0.4566 1.145444 1.149831
2459822 digital_ok 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% 1.923386 0.603692 0.771584 1.394641 -0.544073 -0.048728 -0.513923 -0.498171 0.8026 0.5985 0.5142 2.008400 1.680546
2459821 digital_ok 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% 1.927442 0.601883 0.903663 1.030409 0.002434 0.273569 -0.868955 -0.329530 0.7957 0.6067 0.5187 1.985305 1.709552
2459820 digital_ok 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% 1.873824 1.175073 0.899729 1.019517 2.791665 2.554826 -0.620034 1.033217 0.7705 0.6938 0.4233 1.586750 1.439806
2459817 digital_ok 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% 1.386875 0.186864 0.743964 0.921706 0.612392 0.870702 0.053573 0.292609 0.8019 0.6411 0.5092 1.870958 1.740115
2459816 digital_ok 100.00% 100.00% 100.00% 0.00% 100.00% 0.00% nan nan inf inf nan nan nan nan nan nan nan 0.000000 0.000000
2459815 digital_ok 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% 1.502299 0.311024 -0.055417 0.956659 0.228638 0.399638 -0.527083 1.119844 0.7980 0.6575 0.5156 1.650544 1.447447
2459814 digital_ok 0.00% - - - - - nan nan nan nan nan nan nan nan nan nan nan nan nan
2459813 digital_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 3.235581 2.205855 0.635277 0.277433 6.086700 4.840369 0.488911 4.087753 0.7942 0.7401 0.3997 10.246985 8.584275

Load antenna metric spectra and waterfalls from auto_metrics notebooks.¶

In [11]:
htmls_to_display = []
for am_html in auto_metric_htmls:
    html_to_display = ''
    # read html into a list of lines
    with open(am_html) as f:
        lines = f.readlines()
    
    # find section with this antenna's metric plots and add to html_to_display
    jd = [int(s) for s in re.split('_|\.', am_html) if s.isdigit()][-1]
    try:
        section_start_line = lines.index(f'<h2>Antenna {antenna}: {jd}</h2>\n')
    except ValueError:
        continue
    html_to_display += lines[section_start_line].replace(str(jd), f'<a href="{jd_to_auto_metrics_url(jd)}" target="_blank">{jd}</a>')
    for line in lines[section_start_line + 1:]:
        html_to_display += line
        if '<hr' in line:
            htmls_to_display.append(html_to_display)
            break

Figure 1: Antenna autocorrelation metric spectra and waterfalls.¶

These figures are reproduced from auto_metrics notebooks. For more info on the specific plots and metrics, see those notebooks (linked at the JD). The most recent 100 days (at most) are shown.

In [12]:
for i, html_to_display in enumerate(htmls_to_display):
    if i == 100:
        break
    display(HTML(html_to_display))

Antenna 65: 2459864

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
65 N03 digital_ok ee Temporal Variability 1.323114 0.111385 0.127127 -0.945521 0.604070 0.878160 1.323114 -0.122030 -0.612278

Antenna 65: 2459863

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
65 N03 digital_ok ee Temporal Variability 2.157762 0.465482 0.859948 -1.067477 -0.332527 2.157762 0.963461 -0.142118 -0.208496

Antenna 65: 2459862

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
65 N03 digital_ok nn Temporal Variability 2.734061 0.425008 0.555360 1.211662 -0.651272 2.297593 2.734061 -0.243196 -0.681106

Antenna 65: 2459861

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
65 N03 digital_ok ee Temporal Variability 1.747251 0.188859 0.471699 -0.106059 -0.869086 0.833464 1.747251 -0.152488 0.677050

Antenna 65: 2459860

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
65 N03 digital_ok ee Temporal Variability 2.331120 0.390425 0.270292 0.500957 -0.378229 2.331120 1.888801 -0.345092 -0.162713

Antenna 65: 2459859

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
65 N03 digital_ok ee Temporal Variability 1.496445 0.402059 0.071989 -0.784347 -0.201575 1.496445 0.567763 -0.003042 0.195539

Antenna 65: 2459858

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
65 N03 digital_ok ee Shape 6.950634 5.785288 6.950634 -0.106757 -0.688175 1.669624 2.345662 0.165506 4.156878

Antenna 65: 2459857

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
65 N03 digital_ok ee Shape 15.480300 11.468764 15.480300 2.480472 3.332823 5.281327 5.463598 9.258039 6.258351

Antenna 65: 2459856

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
65 N03 digital_ok ee Temporal Variability 2.273272 0.735662 0.519174 0.244515 -0.072132 2.273272 1.023456 -0.610265 0.758315

Antenna 65: 2459855

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
65 N03 digital_ok ee Temporal Variability 2.385389 0.522479 0.702623 -0.292966 0.391122 0.658346 2.385389 0.148617 -0.086479

Antenna 65: 2459854

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
65 N03 digital_ok ee Temporal Variability 1.966202 -0.177030 0.373717 -0.653318 0.589289 0.407740 1.966202 -0.017210 -0.319995

Antenna 65: 2459853

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
65 N03 digital_ok ee Temporal Variability 1.462488 -0.055290 0.672932 -0.861816 0.637187 0.868705 1.462488 0.266464 0.939821

Antenna 65: 2459852

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
65 N03 digital_ok ee Shape 2.804368 2.804368 0.099511 -0.041217 -0.815922 2.232816 0.452264 0.572080 0.231909

Antenna 65: 2459851

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
65 N03 digital_ok nn Temporal Variability 1.829715 1.110128 0.977636 0.459352 -0.735025 1.569866 1.829715 -0.568159 -0.409922

Antenna 65: 2459850

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
65 N03 digital_ok ee Temporal Variability 2.882253 0.535993 0.141372 0.625979 -0.715267 2.882253 1.060632 -0.641435 0.292744

Antenna 65: 2459849

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
65 N03 digital_ok ee Temporal Variability 3.438399 1.107768 0.431630 2.528287 -0.709898 3.438399 0.842090 -0.585734 0.418329

Antenna 65: 2459848

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
65 N03 digital_ok ee Temporal Variability 4.916090 1.099091 1.405419 0.851609 -0.429053 1.442057 4.916090 0.517547 -0.093509

Antenna 65: 2459847

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
65 N03 digital_ok ee Shape 1.419579 1.134864 1.419579 1.039339 -0.768063 0.951053 -0.398543 -0.653996 -0.265275

Antenna 65: 2459846

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
65 N03 digital_ok ee Temporal Variability 5.290601 0.421979 0.284789 -0.843718 0.467823 5.290601 2.424975 0.238694 0.196202

Antenna 65: 2459845

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
65 N03 digital_ok ee Temporal Variability 3.708045 1.769240 2.350711 0.794503 0.918019 0.464286 3.708045 0.040045 0.568509

Antenna 65: 2459844

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
65 N03 digital_ok ee Shape 31.193234 31.193234 21.359866 23.746052 19.770097 4.419338 9.105425 9.911426 13.528697

Antenna 65: 2459843

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
65 N03 digital_ok ee Power 1.941395 1.299077 1.798346 0.334179 1.941395 1.322938 1.180271 0.059013 -0.717562

Antenna 65: 2459840

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
65 N03 digital_ok ee Shape 63.364609 63.364609 43.732215 15.097443 12.420945 5.591395 10.238367 14.987285 19.358546

Antenna 65: 2459839

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
65 N03 digital_ok ee Power 36.022929 10.933218 16.185127 30.166516 36.022929 3.098146 2.198461 25.141572 20.304239

Antenna 65: 2459838

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
65 N03 digital_ok nn Shape nan nan nan inf inf nan nan nan nan

Antenna 65: 2459835

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
65 N03 digital_ok nn Temporal Discontinuties 1.760346 -0.501308 0.770940 1.048607 0.452759 1.186641 1.128945 1.760346 0.350287

Antenna 65: 2459833

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
65 N03 digital_ok nn Temporal Discontinuties 9.902152 4.951129 7.268483 6.032004 8.100656 3.499289 0.598366 9.902152 9.049926

Antenna 65: 2459832

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
65 N03 digital_ok ee Shape 2.451882 2.451882 0.440759 1.640359 0.481415 1.902845 0.431243 0.434365 -0.246724

Antenna 65: 2459831

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
65 N03 digital_ok ee Power 38.995028 16.770867 11.179507 38.995028 32.968505 3.291103 3.586342 14.680715 18.217097

Antenna 65: 2459830

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
65 N03 digital_ok ee Shape 2.823811 2.823811 0.508971 2.813860 1.015217 -0.478316 -0.359441 -0.404734 0.978218

Antenna 65: 2459829

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
65 N03 digital_ok ee Temporal Variability 6.448648 1.678685 3.121926 0.889498 3.395589 1.880517 6.448648 3.022060 1.340321

Antenna 65: 2459828

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
65 N03 digital_ok nn Temporal Discontinuties 5.271475 0.800343 1.725999 1.254019 0.991574 0.188995 0.481143 5.271475 0.306652

Antenna 65: 2459827

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
65 N03 digital_ok ee Shape 1.773040 1.773040 0.998446 0.752244 0.933862 1.138058 0.341263 0.221993 0.391873

Antenna 65: 2459826

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
65 N03 digital_ok ee Shape 1.919196 0.731884 1.919196 1.030114 0.332046 0.012712 -0.200937 1.203613 -0.538800

Antenna 65: 2459825

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
65 N03 digital_ok ee Shape 1.641329 0.517295 1.641329 0.899554 0.050980 -0.798372 -1.104587 -0.645477 -0.587694

Antenna 65: 2459824

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
65 N03 digital_ok nn Temporal Variability 1.877708 0.506881 0.520192 0.039779 0.432235 0.730148 1.877708 -0.493325 -0.013008

Antenna 65: 2459823

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
65 N03 digital_ok nn Temporal Discontinuties 1.701625 0.468146 1.322386 1.325904 -0.014150 -0.818015 0.006220 1.701625 -0.110821

Antenna 65: 2459822

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
65 N03 digital_ok ee Shape 1.923386 1.923386 0.603692 0.771584 1.394641 -0.544073 -0.048728 -0.513923 -0.498171

Antenna 65: 2459821

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
65 N03 digital_ok ee Shape 1.927442 0.601883 1.927442 1.030409 0.903663 0.273569 0.002434 -0.329530 -0.868955

Antenna 65: 2459820

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
65 N03 digital_ok ee Temporal Variability 2.791665 1.873824 1.175073 0.899729 1.019517 2.791665 2.554826 -0.620034 1.033217

Antenna 65: 2459817

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
65 N03 digital_ok ee Shape 1.386875 1.386875 0.186864 0.743964 0.921706 0.612392 0.870702 0.053573 0.292609

Antenna 65: 2459816

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
65 N03 digital_ok nn Shape nan nan nan inf inf nan nan nan nan

Antenna 65: 2459815

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
65 N03 digital_ok ee Shape 1.502299 0.311024 1.502299 0.956659 -0.055417 0.399638 0.228638 1.119844 -0.527083

Antenna 65: 2459814

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
65 N03 digital_ok nn Shape nan nan nan nan nan nan nan nan nan

Antenna 65: 2459813

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
65 N03 digital_ok ee Temporal Variability 6.086700 2.205855 3.235581 0.277433 0.635277 4.840369 6.086700 4.087753 0.488911
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